A Primer on AI for Architects with Anthony Alford

AI usually refers to deep learning or neural networks. Machine learning models are functions that take input and provide output. Large language models (LLMs) are trained on massive datasets to predict probable next words in sequences. Transformers use attention mechanisms to focus on important parts of input. Retrieval-augmented generation (RAG) improves LLM outputs by incorporating relevant external data. Vector databases enable efficient semantic search. AI copilots assist humans while agents have more autonomy. Careful consideration is needed when adopting AI to solve specific business problems.